{"id":"W2023008986","doi":"10.1016/j.conengprac.2014.12.003","title":"Robust distributed attitude synchronization of multiple three-DOF experimental helicopters","year":2015,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Control theory (sociology); Synchronization (alternating current); Estimator; Tracking error; Controller (irrigation); Tracking (education); Computer science; Stability theory; Control engineering; Engineering; Control (management); Mathematics; Artificial intelligence; Topology (electrical circuits); Nonlinear system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004589057,0.0003588093,0.0003843384,0.0002225948,0.0003825356,0.0004416205,0.0004713819,0.0004057851,0.001096039],"category_scores_gemma":[0.001608822,0.0001860371,0.000178503,0.0001833278,0.0005248477,0.0003960025,0.0007161256,0.0003687089,0.0001780384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000273806,"about_ca_system_score_gemma":0.0003739628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001666073,"about_ca_topic_score_gemma":0.001497215,"domain_scores_codex":[0.9997312,0.00005407678,0.00001719923,0.00008571891,0.00008159255,0.00003013695],"domain_scores_gemma":[0.9994639,0.0001076475,0.0001351588,0.0001269858,0.0001372714,0.0000291063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001562925,0.0001448537,0.00342784,0.0001883998,0.000112762,0.0003853495,0.0005300432,0.639384,0.2202676,0.01565229,0.001119019,0.1172249],"study_design_scores_gemma":[0.00008440854,0.0002695967,0.002399562,0.00001142372,0.00001768773,0.0000562288,0.00007462622,0.9683138,0.0253063,0.002410026,0.001039191,0.00001723553],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3565886,0.0001078605,0.6375718,0.0001519532,0.0001226144,0.00005724985,0.00007616665,0.0004565434,0.004867345],"genre_scores_gemma":[0.9917349,0.00001315764,0.007707832,0.000007081854,0.000005573431,0.00001826965,0.00002746866,0.000008437296,0.0004773473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001666073,"threshold_uncertainty_score":0.003666639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02939735538504327,"score_gpt":0.2406992238586267,"score_spread":0.2113018684735835,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}